摘要
驾驶员在车辆跟驰过程中表现出来的模糊的、不确定性的行为特征,难以对驾驶员的行为进行精确的数学描述．本文在以往跟驰模型基础上,采用以实际间距与期望间距的比值和相对速度作为双输入、后车加速度作为单输出的模糊神经网络建立数学模型．结果表明,该网络能较好的反映一定道路条件下的跟驰行为．
It is hard to describe drivers＇ behavior with precise algorithm because of its fuzzy and uncertain minable characteristic when following a leading car. However, it is suitable to apply fuzzy neural network （FNN） to studying driving behavior. An experiment, which uses SR/SD and V-R as two inputs and the following car＇s acceleration as the output, is simulateed in MATLAB. Model validation results have shown that the FNN model can replicate the driving behavior of real road situation.
出处
《北京工业大学学报》
EI
CAS
CSCD
北大核心
2007年第4期398-401,共4页
Journal of Beijing University of Technology
基金
北京市教委基金项目资助(05004011200507)
霍英东教育基金资助(104011)
关键词
车辆跟驰
驾驶行为
模糊神经网络
期望间距
car-following
driving behavior
fuzzy neural network （FNN）
space desired
